Nir Nissim

53 papers receiving 1.8k citations

Nir Nissim's Hit Papers

Dynamic Malware Analysis in the Modern Era—A State of the Art Survey 2019 · 253 citations
2530+2+4Years since publication50100150200250

Peers

Nir Nissim
Comparison fields: 5 of 94
  • Signal Processing 1.4k
  • Computer Networks and Communications 1.2k
  • Information Systems 909
  • Software 105
  • Artificial Intelligence 654
Replace Yogachandran Rahulamathavan with:
Yogachandran Rahulamathavan United Kingdom
Yinzhi Cao United States
Jack W. Stokes United States
Blaine Nelson United States
Marco Barreno United States
Deguang Kong United States
Golden G. Richard United States
David Lie Canada
Nir Nissim relative to Yogachandran Rahulamathavan United Kingdom Yogachandran Rahulamathavan's profile →
Citations per field
00.5×2×3×4×4.7×
Yogachandran Rahulamathavan · 1×
Citations per year

Countries citing papers authored by Nir Nissim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nir Nissim Line = papers co-authored together Nir Nissim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 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 →
2019253
2 2018104
3 201494
4 200891
5 201676
6 201475
7 201759
8 201659
9 200957
10 201256
11 201846
12 202144
13 202041
14 201938
15 200936
16 202235
17 201835
18 201634
19 201433
20 201633

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 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (39 papers), Network Security and Intrusion Detection (32 papers), Spam and Phishing Detection (13 papers), Anomaly Detection Techniques and Applications (8 papers), Digital and Cyber Forensics (6 papers), User Authentication and Security Systems (5 papers), EEG and Brain-Computer Interfaces (4 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computer Networks and Communications (1.2k citations), Information Systems (909 citations), Software (105 citations) and Artificial Intelligence (654 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, Rami Puzis, Nathalie Japkowicz and Denis Klimov. Their work appears in journals such as Computers & Security, Expert Systems with Applications, IEEE Access, 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.

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