Maryam Bukhari

31 total papers · 424 total citations
24 papers, 272 citations indexed

About

Maryam Bukhari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Maryam Bukhari has authored 24 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Maryam Bukhari's work include Stock Market Forecasting Methods (4 papers), AI in cancer detection (4 papers) and Video Surveillance and Tracking Methods (3 papers). Maryam Bukhari is often cited by papers focused on Stock Market Forecasting Methods (4 papers), AI in cancer detection (4 papers) and Video Surveillance and Tracking Methods (3 papers). Maryam Bukhari collaborates with scholars based in Pakistan, South Korea and Saudi Arabia. Maryam Bukhari's co-authors include Sadaf Yasmin, Muazzam Maqsood, Irfan Mehmood, Seungmin Rho, Saira Gillani, Ahmed A. Abd El‐Latif, Mucheol Kim, Mehr Yahya Durrani, Hassan Ugail and Khalid Bashir Bajwa and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Image and Vision Computing.

In The Last Decade

Maryam Bukhari

21 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Maryam Bukhari	121	109	92	50	33	24	272
Sadaf Yasmin	96 0.8×	104 1.0×	71 0.8×	27 0.5×	46 1.4×	29	319
Tauqeer Faiz	53 0.4×	154 1.4×	125 1.4×	14 0.3×	6 0.2×	16	308
Abdulkader Helwan	56 0.5×	130 1.2×	92 1.0×	38 0.8×	10 0.3×	22	323
L. Borrajo	68 0.6×	193 1.8×	36 0.4×	12 0.2×	23 0.7×	26	315
Ferhat Bozkurt	116 1.0×	122 1.1×	74 0.8×	34 0.7×	5 0.2×	38	279
Paolo Andreini	118 1.0×	80 0.7×	46 0.5×	21 0.4×	9 0.3×	22	256
Krishna Mridha	38 0.3×	112 1.0×	45 0.5×	9 0.2×	9 0.3×	28	272
Yan Qiang	47 0.4×	144 1.3×	85 0.9×	15 0.3×	5 0.2×	19	312
Nitesh Pradhan	42 0.3×	106 1.0×	62 0.7×	35 0.7×	4 0.1×	24	218
Deepak Gupta	46 0.4×	102 0.9×	41 0.4×	19 0.4×	8 0.2×	40	276

Countries citing papers authored by Maryam Bukhari

Since Specialization

Citations

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

Fields of papers citing papers by Maryam Bukhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Bukhari

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Bukhari. A scholar is included among the top collaborators of Maryam Bukhari 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 Maryam Bukhari. Maryam Bukhari 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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