Jitendra Gaikwad

About Jitendra Gaikwad

Jitendra Gaikwad, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Friedrich-Schiller-Universität Jena, specializes in the field of Biodiversity Informatics.

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

The Role of the CLIP Model in Analysing Herbarium Specimen Images

Envisaging a global infrastructure to exploit the potential of digitised collections

Deep learning based approach for digitized herbarium specimen segmentation

Digitisation and analysis of customary medicinal plant knowledge using biodiversity informatics

BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain

PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images

BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data

Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries

Jitendra Gaikwad Information

University

Position

Germany

Citations(all)

603

Citations(since 2020)

373

Cited By

382

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Jitendra Gaikwad Skills & Research Interests

Biodiversity Informatics

Top articles of Jitendra Gaikwad

Title

Journal

Author(s)

Publication Date

The Role of the CLIP Model in Analysing Herbarium Specimen Images

Biodiversity Information Science and Standards

Vamsi Krishna Kommineni

Jens Kattge

Jitendra Gaikwad

Susanne Tautenhahn

Birgitta Koenig-ries

2023

Envisaging a global infrastructure to exploit the potential of digitised collections

Biodiversity Data Journal

Quentin Groom

Mathias Dillen

Wouter Addink

Arturo HH Ariño

Christian Bölling

...

2023

Deep learning based approach for digitized herbarium specimen segmentation

Multimedia Tools and Applications

Abdelaziz Triki

Bassem Bouaziz

Walid Mahdi

Hamdi Hamed

Jitendra Gaikwad

2022/8

Digitisation and analysis of customary medicinal plant knowledge using biodiversity informatics

Jitendra Ashok Gaikwad

2022/3/28

BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain

Biodiversity Data Journal

Nora Abdelmageed

Felicitas Löffler

Leila Feddoul

Alsayed Algergawy

Sheeba Samuel

...

2022

PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images

Abdelaziz Triki

Bassem Bouaziz

Jitendra Gaikwad

Walid Mahdi

2021

BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data

Biodiversity Data Journal

Javad Chamanara

Jitendra Gaikwad

Roman Gerlach

Alsayed Algergawy

Andreas Ostrowski

...

2021

Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries

Biodiversity Data Journal

Vamsi Krishna Kommineni

Susanne Tautenhahn

Pramod Baddam

Jitendra Gaikwad

Barbara Wieczorek

...

2021/7/13

Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images

Pattern Recognition Letters

Abdelaziz Triki

Bassem Bouaziz

Jitendra Gaikwad

Walid Mahdi

2021/10/1

A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNN.

TACC

Abdelaziz Triki

Bassem Bouaziz

Jitendra Gaikwad

Walid Mahdi

2021

Understanding intraspecific trait variability using digital herbarium specimen images

Biodiversity Information Science and Standards

Vamsi Krishna Kommineni

Jens Kattge

Jitendra Gaikwad

Pramod Baddam

Susanne Tautenhahn

2020/10/1

Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3.

Abdelaziz Triki

Bassem Bouaziz

Walid Mahdi

Jitendra Gaikwad

2020

See List of Professors in Jitendra Gaikwad University(Friedrich-Schiller-Universität Jena)

Co-Authors

academic-engine