Jayant Krishnamurthy

1.6k citations
17 papers · 471 · h-index 9

Impact in

Papers in

Jayant Krishnamurthy

17 papers receiving 433 citations

Peers

Jayant Krishnamurthy
Comparison fields: 5 of 40
  • Artificial Intelligence 434
  • Computer Vision and Pattern Recognition 161
  • Computer Science Applications 16
  • Management Science and Operations Research 36
  • Information Systems 42
Replace Segev Shlomov with:
Segev Shlomov Israel
Xuchen Yao United States
Aniruddh Nath United States
Lemao Liu China
Oier López de Lacalle Spain
Pradeep Dasigi United States
Keith Alcock United States
Shyam Upadhyay United States
Luu Anh Tuan Singapore
Xinya Du United States
Jayant Krishnamurthy relative to Segev Shlomov Israel Segev Shlomov's profile →
Citations per field
00.5×10×15×21.7×
Segev Shlomov · 1×
Citations per year

Countries citing papers authored by Jayant Krishnamurthy

Since Specialization
Citations

This map shows the geographic impact of Jayant Krishnamurthy'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 Jayant Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayant Krishnamurthy more than expected).

Fields of papers citing papers by Jayant Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayant Krishnamurthy. 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 Jayant Krishnamurthy. The network helps show where Jayant Krishnamurthy may publish in the future.

Co-authors

The 25 scholars most cited alongside Jayant Krishnamurthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jayant Krishnamurthy Line = papers co-authored together Jayant Krishnamurthy links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017121
2 201498
3 201394
4 201643
5 201827
6 201417
7 200917
8 201514
9 20139
10 20188
11 20218
12 20165
13 20194
14 20183
15
CMUML System for KBP 2013 Slot Filling.
20131
16 20231
17 20151

About Jayant Krishnamurthy

Jayant Krishnamurthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Information Systems and Management, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers), Speech and dialogue systems (6 papers), Multimodal Machine Learning Applications (2 papers), Data Stream Mining Techniques (1 paper), Semantic Web and Ontologies (1 paper), Time Series Analysis and Forecasting (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (434 citations), Computer Vision and Pattern Recognition (161 citations), Computer Science Applications (16 citations), Management Science and Operations Research (36 citations) and Information Systems (42 citations). Jayant Krishnamurthy has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Tom M. Mitchell, Matt Gardner, Thomas Kollar, Pradeep Dasigi, Partha Talukdar, Amos Azaria, Robert E. Speer, Catherine Havasi, Henry Lieberman and Kenneth C. Arnold. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Autonomous Agents and Multi-Agent Systems, Theory and applications of categories, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and Figshare.

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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