Nitin Pise

700 citations
29 papers · 425 · h-index 7

Impact in

    • AI in cancer detection
    • Text and Document Classification Technologies
    • Machine Learning and Data Classification
    • Cutaneous Melanoma Detection and Management

Papers in

    • Imbalanced Data Classification Techniques 4
    • Machine Learning and Data Classification 4
    • Advanced Text Analysis Techniques 3
    • Spam and Phishing Detection 5
    • Blockchain Technology Applications and Security 3

Nitin Pise

23 papers receiving 378 citations

Peers

Nitin Pise
Comparison fields: 5 of 87
  • Artificial Intelligence 245
  • Oncology 156
  • Computer Vision and Pattern Recognition 84
  • Biophysics 23
  • Health Information Management 13
Replace Chandrabose Aravindan with:
Chandrabose Aravindan India
Rehan Ashraf Pakistan
Eugenio Vocaturo Italy
Anisha P Rodrigues India
Abdullah Almuhaimeed Saudi Arabia
Hwan-Seung Yong South Korea
Ghadah Naif Alwakid Saudi Arabia
Vikas Deep India
Hamed Tabrizchi Iran
Spiros V. Georgakopoulos Greece
Nitin Pise relative to Chandrabose Aravindan India Chandrabose Aravindan's profile →
Citations per field
00.5×2.6×
Chandrabose Aravindan · 1×
Citations per year

Countries citing papers authored by Nitin Pise

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Pise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Nitin Pise, 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 Nitin Pise Line = papers co-authored together Nitin Pise links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015190
2 201677
3 200864
4 201622
5 201612
6
Meta-Learning with Landmarking: A Survey
201411
7 20187
8 20146
9 20166
10 20166
11 20204
12 20153
13 20213
14 20153
15 20232
16 20161
17 20231
18 20231
19 20151
20 20241

About Nitin Pise

Nitin Pise is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 425 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Network Security and Intrusion Detection (5 papers), Imbalanced Data Classification Techniques (4 papers), Machine Learning and Data Classification (4 papers), Blockchain Technology Applications and Security (3 papers), Advanced Text Analysis Techniques (3 papers), Advanced Malware Detection Techniques (3 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Artificial Intelligence (245 citations), Oncology (156 citations), Computer Vision and Pattern Recognition (84 citations), Biophysics (23 citations) and Health Information Management (13 citations). Nitin Pise has collaborated with scholars based in India and United States. Frequent co-authors include Vandana Jagtap, Parag Kulkarni, Swati Jadhav, Ranjana Agrawal, Rajul K. Jain, Deep Kothadiya and Ravneet Kaur. Their work appears in journals such as International Journal of Imaging Systems and Technology, Evolving Systems, Cybernetics and Information Technologies, International Journal of Latest Trends in Engineering and Technology and International journal of advance research, ideas and innovations in technology.

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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