M. N. A. Khan

25 total papers · 456 total citations
23 papers, 313 citations indexed

About

M. N. A. Khan is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, M. N. A. Khan has authored 23 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 10 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in M. N. A. Khan's work include Software Engineering Research (7 papers), Software System Performance and Reliability (7 papers) and Software Engineering Techniques and Practices (5 papers). M. N. A. Khan is often cited by papers focused on Software Engineering Research (7 papers), Software System Performance and Reliability (7 papers) and Software Engineering Techniques and Practices (5 papers). M. N. A. Khan collaborates with scholars based in Pakistan, United States and Malaysia. M. N. A. Khan's co-authors include Abdul Salam Shah, Asadullah Shah, Kaleem Ullah, Khalid Khan, Muhammad Khalid, Ali Bhutto, Said Nabi, Shaheed Zulfikar, Asad Mehmood and Muhammad Fayaz and has published in prestigious journals such as International Journal of Modern Education and Computer Science, International Journal of Advanced Science and Technology and International Journal of Security and Its Applications.

In The Last Decade

M. N. A. Khan

22 papers receiving 267 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. N. A. Khan	174	80	75	64	64	23	313
Nikhat Akhtar	130 0.7×	78 1.0×	70 0.9×	53 0.8×	65 1.0×	30	307
Shipra Saraswat	95 0.5×	72 0.9×	28 0.4×	33 0.5×	23 0.4×	32	257
Shamim Ripon	83 0.5×	149 1.9×	44 0.6×	38 0.6×	18 0.3×	37	253
Tan Soo Fun	176 1.0×	140 1.8×	121 1.6×	56 0.9×	47 0.7×	32	346
Farhad Mardukhi	143 0.8×	101 1.3×	107 1.4×	40 0.6×	44 0.7×	22	270
Ashish Tiwari	151 0.9×	73 0.9×	149 2.0×	28 0.4×	31 0.5×	32	265
Xiaofei Nan	82 0.5×	84 1.1×	103 1.4×	93 1.5×	31 0.5×	28	337
Wiesław Pawłowski	123 0.7×	105 1.3×	174 2.3×	61 1.0×	10 0.2×	22	319
Hamad Alsawalqah	115 0.7×	187 2.3×	54 0.7×	36 0.6×	17 0.3×	19	329
Nora Cuppens-Boulahia	149 0.9×	171 2.1×	150 2.0×	36 0.6×	51 0.8×	40	349

Countries citing papers authored by M. N. A. Khan

Since Specialization

Citations

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

Fields of papers citing papers by M. N. A. Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. N. A. Khan. 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 M. N. A. Khan. The network helps show where M. N. A. Khan may publish in the future.

Co-authorship network of co-authors of M. N. A. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of M. N. A. Khan. A scholar is included among the top collaborators of M. N. A. Khan 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 M. N. A. Khan. M. N. A. Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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