Kishlay Jha

1.5k citations
25 papers · 891 indexed · 1 hit paper · h-index 9
Topics
Biomedical Text Mining and Ontologies (16 papers)Topic Modeling (15 papers)Advanced Text Analysis Techniques (10 papers)
Partner nations
United StatesChina

In The Last Decade

Kishlay Jha

20 papers receiving 867 citations

Hit Papers

EANN20182026202020232018200400600

Peers

Kishlay Jha
Comparison fields: 5 of 54
  • Sociology and Political Science 632
  • Artificial Intelligence 592
  • Information Systems 456
  • Signal Processing 146
  • Molecular Biology 136
Replace Hai Leong Chieu with:
Hai Leong Chieu Singapore
Kashyap Popat Germany
Jyun‐Yu Jiang United States
Raymond Heatherly United States
Sadia Afroz United States
José María Gómez Hidalgo Spain
Dhruv Khattar India
Karishma Sharma United States
Danesh Irani United States
Prashant Shiralkar United States
Kishlay Jha relative to Hai Leong Chieu Singapore Hai Leong Chieu's profile →
Citations per field
00.5×4.3×
Hai Leong Chieu · 1×
Citations per year

Countries citing papers authored by Kishlay Jha

Since Specialization
Citations

This map shows the geographic impact of Kishlay Jha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kishlay Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kishlay Jha more than expected).

Fields of papers citing papers by Kishlay Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kishlay Jha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kishlay Jha. The network helps show where Kishlay Jha may publish in the future.

Co-authorship network of co-authors of Kishlay Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Kishlay Jha. A scholar is included among the top collaborators of Kishlay Jha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kishlay Jha. Kishlay Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Boosting Social Determinants of Health Extraction with Semantic Knowledge Augmented Large Language Model.
0
3 0
4 3
5 8
6 3
7 0
8 1
9 35
10 30
11 5
12 32
13 12
14 13
15 668
16 25
17 6
18 15
19 8
20 1

About Kishlay Jha

Kishlay Jha is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management, having authored 25 papers that have together received 891 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Topic Modeling (15 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Information Systems (456 citations), Artificial Intelligence (592 citations) and Sociology and Political Science (632 citations). Kishlay Jha has collaborated with scholars based in United States and China. Frequent co-authors include Guangxu Xun, Yaqing Wang, Fenglong Ma, Ye Yuan, Lü Su, Zhiwei Jin, Jing Gao, Aidong Zhang, Wei Jin and Yaqing Wang. Their work appears in journals such as Bioinformatics, Journal of Biomedical Informatics and ACM Transactions on Knowledge Discovery from Data.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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