Krishna Gade

11 total papers · 1.3k total citations
8 papers, 873 citations indexed

About

Krishna Gade is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Krishna Gade has authored 8 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Krishna Gade's work include Explainable Artificial Intelligence (XAI) (4 papers), Web Data Mining and Analysis (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Krishna Gade is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Web Data Mining and Analysis (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Krishna Gade collaborates with scholars based in United States and China. Krishna Gade's co-authors include Karthik Ramasamy, Dmitriy Ryaboy, Amit K. Shukla, Jignesh M. Patel, Jason Baird Jackson, Sanjeev Kulkarni, Maosong Fu, Krishnaram Kenthapadi, Varun Mithal and Ankur Taly and has published in prestigious journals such as .

In The Last Decade

Krishna Gade

8 papers receiving 843 citations

Hit Papers

Storm@twitter 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Krishna Gade 569 481 330 165 125 8 873
Shravan Narayanamurthy 423 0.7× 463 1.0× 467 1.4× 87 0.5× 214 1.7× 10 905
Maosong Fu 851 1.5× 652 1.4× 324 1.0× 172 1.0× 124 1.0× 6 1.0k
Joseph K. Bradley 576 1.0× 464 1.0× 357 1.1× 198 1.2× 219 1.8× 11 971
Zhengping Qian 710 1.2× 615 1.3× 320 1.0× 190 1.2× 267 2.1× 24 1.0k
Ari Luotonen 424 0.7× 313 0.7× 226 0.7× 56 0.3× 73 0.6× 6 895
Jim Webber 323 0.6× 270 0.6× 281 0.9× 78 0.5× 205 1.6× 15 728
Henrik Frystyk Nielsen 494 0.9× 319 0.7× 221 0.7× 50 0.3× 75 0.6× 14 976
Tomer Kaftan 603 1.1× 491 1.0× 248 0.8× 195 1.2× 182 1.5× 4 884
Sameer Agarwal 714 1.3× 412 0.9× 293 0.9× 401 2.4× 234 1.9× 9 962
Vuk Ercegovac 503 0.9× 450 0.9× 166 0.5× 173 1.0× 162 1.3× 26 699

Countries citing papers authored by Krishna Gade

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Gade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Gade

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Gade. A scholar is included among the top collaborators of Krishna Gade 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 Krishna Gade. Krishna Gade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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