Nir Nissim
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in
-
- Advanced Malware Detection Techniques 36
- Time Series Analysis and Forecasting 4
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- Network Security and Intrusion Detection 30
- Co-authors
- Yuval Elovici (27 shared papers)Aviad Cohen (22 shared papers)Lior Rokach (8 shared papers)Robert Moskovitch (11 shared papers)Clint Feher (2 shared papers)Yuval Shaḥar (4 shared papers)Chanan Glezer (1 shared paper)Denis Klimov (1 shared paper)
- Journals
- Computers & Security (6 papers)IEEE Access (5 papers)Expert Systems with Applications (5 papers)Knowledge-Based Systems (4 papers)Neural Networks (4 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Nir Nissim
48 papers receiving 1.5k citations
Nir Nissim's Hit Papers
Peers
Comparison fields: 5 of 90
- Signal Processing 1.2k
- Computer Networks and Communications 984
- Information Systems 777
- Software 77
- Artificial Intelligence 556
Countries citing papers authored by Nir Nissim
This map shows the geographic impact of Nir Nissim'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 Nir Nissim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Nissim more than expected).
Fields of papers citing papers by Nir Nissim
This network shows the impact of papers produced by Nir Nissim. 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 Nir Nissim. The network helps show where Nir Nissim may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Nissim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic Malware Analysis in the Modern Era—A State of the Art Survey Hit paper breakdown → | 2019 | 208 |
| 2 | 2018 | 92 | |
| 3 | 2014 | 83 | |
| 4 | 2008 | 77 | |
| 5 | 2016 | 66 | |
| 6 | 2014 | 63 | |
| 7 | 2017 | 54 | |
| 8 | 2016 | 54 | |
| 9 | 2012 | 52 | |
| 10 | 2009 | 45 | |
| 11 | 2018 | 44 | |
| 12 | 2020 | 39 | |
| 13 | 2021 | 37 | |
| 14 | 2019 | 34 | |
| 15 | 2022 | 34 | |
| 16 | 2016 | 30 | |
| 17 | 2014 | 29 | |
| 18 | 2021 | 29 | |
| 19 | 2016 | 29 | |
| 20 | 2018 | 27 |
About Nir Nissim
Nir Nissim is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (36 papers), Network Security and Intrusion Detection (30 papers), Spam and Phishing Detection (12 papers), Anomaly Detection Techniques and Applications (7 papers), Digital and Cyber Forensics (6 papers), User Authentication and Security Systems (5 papers), Time Series Analysis and Forecasting (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Networks and Communications (984 citations), Information Systems (777 citations), Software (77 citations) and Artificial Intelligence (556 citations). Nir Nissim has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yuval Elovici, Aviad Cohen, Lior Rokach, Robert Moskovitch, Clint Feher, Yuval Shaḥar, Chanan Glezer, Denis Klimov, Rami Puzis and Nathalie Japkowicz. Their work appears in journals such as Computers & Security, IEEE Access, Expert Systems with Applications, Knowledge-Based Systems and Neural 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.