Sardar Jaf

730 total citations · 1 hit paper
17 papers, 433 citations indexed

About

Sardar Jaf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sardar Jaf has authored 17 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Sardar Jaf's work include Natural Language Processing Techniques (6 papers), Advanced Malware Detection Techniques (5 papers) and Handwritten Text Recognition Techniques (4 papers). Sardar Jaf is often cited by papers focused on Natural Language Processing Techniques (6 papers), Advanced Malware Detection Techniques (5 papers) and Handwritten Text Recognition Techniques (4 papers). Sardar Jaf collaborates with scholars based in United Kingdom, Czechia and Pakistan. Sardar Jaf's co-authors include Kenneth McGarry, Thar Baker, Ibrahim Ghafir, Václav Přenosil, Mohammad Hammoudeh, Sohail Jabbar, Allan Ramsay, Noura Al Moubayed, A. Stephen McGough and Steven Bradley and has published in prestigious journals such as IEEE Access, The Journal of Supercomputing and Information.

In The Last Decade

Sardar Jaf

15 papers receiving 406 citations

Hit Papers

A Literature Survey of Recent Advances in Chatbots 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sardar Jaf United Kingdom 6 248 111 85 64 53 17 433
Sharifullah Khan Pakistan 11 220 0.9× 161 1.5× 91 1.1× 49 0.8× 7 0.1× 69 449
Alon Jacovi Israel 7 348 1.4× 67 0.6× 20 0.2× 20 0.3× 73 1.4× 11 507
Christoph Lofi Netherlands 13 208 0.8× 73 0.7× 74 0.9× 110 1.7× 15 0.3× 46 472
Mauro Dragoni Italy 15 622 2.5× 181 1.6× 25 0.3× 26 0.4× 18 0.3× 77 825
Stefano Cirillo Italy 11 144 0.6× 65 0.6× 35 0.4× 29 0.5× 43 0.8× 49 381
Dimitris Kotzinos France 10 168 0.7× 55 0.5× 51 0.6× 26 0.4× 72 1.4× 31 327
Seongjin Ahn South Korea 7 87 0.4× 140 1.3× 107 1.3× 41 0.6× 20 0.4× 36 405
James Schaffer United States 10 231 0.9× 136 1.2× 15 0.2× 17 0.3× 35 0.7× 16 406
Ehsan Toreini United Kingdom 11 130 0.5× 154 1.4× 42 0.5× 104 1.6× 9 0.2× 31 349
Marcin Gruza Poland 8 405 1.6× 48 0.4× 17 0.2× 16 0.3× 125 2.4× 13 581

Countries citing papers authored by Sardar Jaf

Since Specialization
Citations

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

Fields of papers citing papers by Sardar Jaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sardar Jaf

This figure shows the co-authorship network connecting the top 25 collaborators of Sardar Jaf. A scholar is included among the top collaborators of Sardar Jaf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sardar Jaf. Sardar Jaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Jaf, Sardar, et al.. (2023). Machine learning method in detecting a distributed of service (DDoS): A systematic literature review. AIP conference proceedings. 2643. 40034–40034. 1 indexed citations
3.
Jaf, Sardar, et al.. (2022). Detecting Distributed Denial of Service in Network Traffic with Deep Learning. International Journal of Advanced Computer Science and Applications. 13(1). 8 indexed citations
4.
Jaf, Sardar, et al.. (2022). A Literature Survey of Recent Advances in Chatbots. Information. 13(1). 41–41. 230 indexed citations breakdown →
5.
Husari, Ghaith, et al.. (2021). A Data-Driven Password Strength Meter for Cybersecurity Assessment and Enhancement. 1980–1987. 1 indexed citations
6.
Jaf, Sardar, et al.. (2019). Deep Learning for Natural Language Parsing. IEEE Access. 7. 131363–131373. 27 indexed citations
7.
Jaf, Sardar, A. Stephen McGough, Toby P. Breckon, et al.. (2019). On the Use of Neural Text Generation for the Task of Optical Character Recognition. Durham Research Online (Durham University). 50. 1–8. 1 indexed citations
8.
Jaf, Sardar, et al.. (2018). CAM: A Combined Attention Model for Natural Language Inference. Durham Research Online (Durham University). 1009–1014. 3 indexed citations
9.
Jaf, Sardar, et al.. (2018). Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition. Sunderland Repository (University of Sunderland). 3 indexed citations
10.
Ghafir, Ibrahim, Václav Přenosil, Mohammad Hammoudeh, et al.. (2018). BotDet: A System for Real Time Botnet Command and Control Traffic Detection. IEEE Access. 6. 38947–38958. 40 indexed citations
11.
Ghafir, Ibrahim, Mohammad Hammoudeh, Václav Přenosil, et al.. (2018). Security threats to critical infrastructure: the human factor. The Journal of Supercomputing. 74(10). 4986–5002. 106 indexed citations
12.
Jaf, Sardar. (2016). A simple approach to unify ambiguously encoded Kurdish characters.. Durham Research Online (Durham University). 1 indexed citations
13.
Jaf, Sardar, et al.. (2016). Improved Arabic characters recognition by combining multiple machine learning classifiers. Durham Research Online (Durham University). 262–265. 7 indexed citations
14.
Jaf, Sardar & Allan Ramsay. (2016). A Rule-based part-of-speech Tagger for Sorani Kurdish. Dialnet (Universidad de la Rioja). 39–48. 1 indexed citations
15.
Jaf, Sardar & Allan Ramsay. (2015). The Selection a Classifier for Data-driven Parsing. Sunderland Repository (University of Sunderland). 1 indexed citations
16.
Jaf, Sardar. (2015). THE APPLICATION OF CONSTRAINT RULES TO DATA-DRIVEN PARSING. Research Explorer (The University of Manchester). 232–238. 1 indexed citations
17.
Jaf, Sardar & Allan Ramsay. (2014). Stemmer and a POS tagger for Sorani Kurdish.. Research Explorer (The University of Manchester). 2 indexed citations

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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