Mark Gahegan

Mark Gahegan

University of Auckland

H-index: 44

Oceania-New Zealand

About Mark Gahegan

Mark Gahegan, With an exceptional h-index of 44 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Geographical Information Science, Computer Science, Geography, information visualisation, eScience.

His recent articles reflect a diverse array of research interests and contributions to the field:

LivePublication: The science workflow creates and updates the publication

Multi2Claim: Generating scientific claims from multi-choice questions for scientific fact-checking

Input-length-shortening and text generation via attention values

From Reproducible to Explainable GIScience (Short Paper)

DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites

2021 Centre for eResearch Annual Report

Enabling livepublication

An explainability analysis of a sentiment prediction task using a transformer-based attention filter

Mark Gahegan Information

University

Position

Professor of Computer Science

Citations(all)

7408

Citations(since 2020)

1555

Cited By

7604

hIndex(all)

44

hIndex(since 2020)

21

i10Index(all)

103

i10Index(since 2020)

30

Email

University Profile Page

University of Auckland

Google Scholar

View Google Scholar Profile

Mark Gahegan Skills & Research Interests

Geographical Information Science

Computer Science

Geography

information visualisation

eScience

Top articles of Mark Gahegan

Title

Journal

Author(s)

Publication Date

LivePublication: The science workflow creates and updates the publication

Augustus Ellerm

Mark Gahegan

Benjamin Adams

2023/10/9

Multi2Claim: Generating scientific claims from multi-choice questions for scientific fact-checking

Neset Tan

Trung Nguyen

Josh Bensemann

Alex Peng

Qiming Bao

...

2023/5

Input-length-shortening and text generation via attention values

arXiv preprint arXiv:2303.07585

Neşet Özkan Tan

Alex Yuxuan Peng

Joshua Bensemann

Qiming Bao

Tim Hartill

...

2023/3/14

From Reproducible to Explainable GIScience (Short Paper)

Mark Gahegan

2023

DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites

BMC bioinformatics

Jidong Zhang

Bo Liu

Zhihan Wang

Klaus Lehnert

Mark Gahegan

2022/6/29

2021 Centre for eResearch Annual Report

Mark Gahegan

Marcus Gustafsson

Laura Armstrong

Yvette Wharton

Martin Feller

...

2022/3/3

Enabling livepublication

Augustus Ellerm

Benjamin Adams

Mark Gahegan

Lukas Trombach

2022/10/11

An explainability analysis of a sentiment prediction task using a transformer-based attention filter

Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems

NO Tan

Joshua Bensemann

Diana Benavides-Prado

Yang Chen

Mark Gahegan

...

2021/11/17

Coastal image classification and pattern recognition: Tairua beach, New Zealand

Sensors

Bo Liu

Bin Yang

Sina Masoud-Ansari

Huina Wang

Mark Gahegan

2021/11/5

A gastric cancer recognition algorithm on gastric pathological sections based on multistage attention‐DenseNet

Concurrency and Computation: Practice and Experience

Bo Liu

Yelong Zhao

Bin Yang

Shuangtao Zhao

Rentao Gu

...

2021/5/25

Fourth paradigm GIScience? Prospects for automated discovery and explanation from data

International journal of geographical information science

Mark Gahegan

2020/1/2

GeoComputation 2019 special feature

Journal of Spatial Information Science

Antoni Moore

Mark Gahegan

2020/12/31

We Need to Rethink How We Describe and Organize Spatial Information: Instrumenting and Observing the Community of Users to Improve Data Description and Discovery

arXiv preprint arXiv:2010.09139

Benjamin Adams

Mark Gahegan

2020/10/18

Geographical Information Science observatories, theoretical and methodological transitions

Journal of Interdisciplinary Methodologies and Issues in Sciences

Christophe Claramunt

Benjamin Adams

Mark Gahegan

2020/8/25

Spatially explicit models for exploring COVID‐19 lockdown strategies

Transactions in GIS

David O'Sullivan

Mark Gahegan

Daniel J Exeter

Benjamin Adams

2020/8

Categories are in flux, but their computational representations are fixed: That's a problem

Transactions in GIS

Prashant Gupta

Mark Gahegan

2020/4

See List of Professors in Mark Gahegan University(University of Auckland)