Aneesh Krishna

1.5k citations
154 papers · 1.1k · h-index 15

Impact in

Papers in

    • Advanced Software Engineering Methodologies 43
    • Multi-Agent Systems and Negotiation 13
    • Software Engineering Research 13
    • Software Engineering Techniques and Practices 11
    • Service-Oriented Architecture and Web Services 7

Aneesh Krishna

136 papers receiving 1k citations

Peers

Aneesh Krishna
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 284
  • Information Systems 175
  • Software 35
  • Artificial Intelligence 227
  • Management Information Systems 53
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Citations per field
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Citations per year

Countries citing papers authored by Aneesh Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aneesh Krishna, 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 Aneesh Krishna Line = papers co-authored together Aneesh Krishna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013195
2 201649
3 202241
4 202336
5 201034
6 201633
7 202028
8 200624
9 201520
10 201619
11 201418
12 202117
13 201216
14 201716
15 201916
16 201815
17
Co-Evolution of Complementary Formal and Informal Requirements
200413
18
Optimal selection of operationalizations for non-functional requirements
201313
19 201613
20 201212

About Aneesh Krishna

Aneesh Krishna is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Software and Genetics, having authored 154 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (43 papers), Genetic Associations and Epidemiology (14 papers), Multi-Agent Systems and Negotiation (13 papers), Software Engineering Research (13 papers), Software Engineering Techniques and Practices (11 papers), Advanced Neural Network Applications (11 papers), Face and Expression Recognition (7 papers) and Service-Oriented Architecture and Web Services (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Information Systems (175 citations), Software (35 citations), Artificial Intelligence (227 citations) and Management Information Systems (53 citations). Aneesh Krishna has collaborated with scholars based in Australia, India and Norway. Frequent co-authors include Wanquan Liu, Ajmal Saeed Mian, Raj P. Gopalan, Aditya Ghose, Duc-Son Pham, Lov Kumar, Sajib Mistry, Sergiy Vilkomir, Arshinder Kaur and Mahbuba Afrin. Their work appears in journals such as Journal of the Association for Information Systems, The Computer Journal, Disability and Rehabilitation Assistive Technology, Neurocomputing and Lecture notes in computer science.

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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