Krishna Gade

1.3k total citations · 1 hit paper
8 papers, 875 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 875 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 Amit K. Shukla, Dmitriy Ryaboy, Jignesh M. Patel, Sanjeev Kulkarni, Maosong Fu, Karthik Ramasamy, Jason Baird Jackson, Krishnaram Kenthapadi, Sahin Cem Geyik and Ankur Taly and has published in prestigious journals such as .

In The Last Decade

Krishna Gade

8 papers receiving 845 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Storm@twitter

2014 599 citations Amit K. Shukla, Karthik Ramasamy et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Krishna Gade United States	7	568	480	332	164	125	8	875
Yon Dohn Chung South Korea	18	611 1.1×	400 0.8×	449 1.4×	250 1.5×	155 1.2×	84	1.1k
Mema Roussopoulos United States	17	1.3k 2.2×	597 1.2×	295 0.9×	225 1.4×	166 1.3×	60	1.5k
Karthik Ramasamy United States	8	975 1.7×	756 1.6×	384 1.2×	190 1.2×	136 1.1×	22	1.2k
Dimitrios Pendarakis United States	19	1.3k 2.4×	631 1.3×	431 1.3×	177 1.1×	143 1.1×	49	1.8k
Erich Schikuta Austria	15	418 0.7×	433 0.9×	257 0.8×	93 0.6×	79 0.6×	108	777
Salman Baset United States	15	889 1.6×	338 0.7×	219 0.7×	93 0.6×	107 0.9×	38	1.1k
Olga Papaemmanouil United States	15	654 1.2×	360 0.8×	316 1.0×	391 2.4×	199 1.6×	37	989
Jim Webber United Kingdom	8	323 0.6×	271 0.6×	283 0.9×	78 0.5×	205 1.6×	15	730
Víctor Muntés-Mulero Spain	13	369 0.6×	322 0.7×	194 0.6×	61 0.4×	77 0.6×	40	645
Tomer Kaftan United States	4	603 1.1×	492 1.0×	248 0.7×	195 1.2×	182 1.5×	4	886

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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8 of 8 papers shown

1.

Wang, Zijie J., et al.. (2022). Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. 45–49. 14 indexed citations

2.

Gade, Krishna, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, & Ankur Taly. (2020). Explainable AI in Industry: Practical Challenges and Lessons Learned. 303–304. 23 indexed citations

3.

Gade, Krishna, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, & Ankur Taly. (2020). Explainable AI in industry. 699–699. 15 indexed citations

4.

Gade, Krishna, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, & Ankur Taly. (2019). Explainable AI in Industry. 3203–3204. 81 indexed citations

5.

Gade, Krishna, et al.. (2018). Extracting relationship between browser history items for improved client-side analytics and recommendations. 141–146. 2 indexed citations

6.

Shukla, Amit K., Karthik Ramasamy, Jignesh M. Patel, et al.. (2014). Storm@twitter. 147–156. 599 indexed citations breakdown →

7.

Busch, Michael, et al.. (2012). Earlybird: Real-Time Search at Twitter. 1360–1369. 107 indexed citations

8.

Gade, Krishna, Jianyong Wang, & George Karypis. (2004). Efficient closed pattern mining in the presence of tough block constraints. 138–147. 34 indexed citations

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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