Suhas Patil

400 citations
58 papers · 265 · h-index 9

Impact in

    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Spam and Phishing Detection
    • Software Engineering Research

Papers in

Suhas Patil

53 papers receiving 228 citations

Peers

Suhas Patil
Comparison fields: 5 of 72
  • Software 19
  • Information Systems 76
  • Computer Networks and Communications 71
  • Health Informatics 3
  • Artificial Intelligence 69
Replace Lenardo Chaves e Silva with:
Lenardo Chaves e Silva Brazil
Anil Sharma India
Andriy Kovalenko Ukraine
Henric Johnson Sweden
Ruben Sipoš United States
Belhassen Zouari Tunisia
Jean‐Pierre Georgé France
Rashi Kohli India
Saber Benharzallah Algeria
Elif Üstündağ Soykan Sweden
Suhas Patil relative to Lenardo Chaves e Silva Brazil Lenardo Chaves e Silva's profile →
Citations per field
00.5×2.6×
Lenardo Chaves e Silva · 1×
Citations per year

Countries citing papers authored by Suhas Patil

Since Specialization
Citations

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

Fields of papers citing papers by Suhas Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Suhas Patil, 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 Suhas Patil Line = papers co-authored together Suhas Patil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202346
2 202214
3 201614
4 201712
5 201212
6 201411
7 202310
8 201610
9 20159
10 20227
11 20187
12 20167
13
Efficient and Trust Based Black Hole Attack Detection and Prevention in WSN
20146
14 20096
15
Content Modelling for unbiased Information Analysis
20206
16 20155
17 20215
18 20194
19 20224
20 20224

About Suhas Patil

Suhas Patil is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 265 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), Spam and Phishing Detection (5 papers), Security in Wireless Sensor Networks (5 papers), IoT and Edge/Fog Computing (4 papers), Misinformation and Its Impacts (4 papers), Mobile Ad Hoc Networks (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Software (19 citations), Information Systems (76 citations), Computer Networks and Communications (71 citations), Health Informatics (3 citations) and Artificial Intelligence (69 citations). Suhas Patil has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include B. Eswara Reddy, Rahul Joshi, Shashank Joshi, S. Revathy, D. T. Shirke, R. Subhashini, Amit Gupta, Ketan Kotecha, S. T. Patil and Rajeev Chawla. Their work appears in journals such as Journal of Thoracic Oncology, The Computer Journal, Indian Journal of Science and Technology, Expert Systems with Applications and Wireless Networks.

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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