Nadeem Bhatti

42 total papers · 520 total citations
27 papers, 318 citations indexed

About

Nadeem Bhatti is a scholar working on Organizational Behavior and Human Resource Management, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Nadeem Bhatti has authored 27 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organizational Behavior and Human Resource Management, 4 papers in Artificial Intelligence and 4 papers in Economics and Econometrics. Recurrent topics in Nadeem Bhatti's work include Job Satisfaction and Organizational Behavior (5 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Innovative Teaching and Learning Methods (2 papers). Nadeem Bhatti is often cited by papers focused on Job Satisfaction and Organizational Behavior (5 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Innovative Teaching and Learning Methods (2 papers). Nadeem Bhatti collaborates with scholars based in Pakistan, Germany and China. Nadeem Bhatti's co-authors include Faiz Muhammad Shaikh, Muhammad Aamir Hashmi, Christian Janiesch, Daniel Oberle, Michael Niemann, Magd Abdel Wahab, Qingming Deng, Xiaochun Yin, Hina Shah and Sajid Malik and has published in prestigious journals such as Metals, Business & Information Systems Engineering and Asian Social Science.

In The Last Decade

Nadeem Bhatti

24 papers receiving 256 citations

Author Peers

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

Author						Papers	Cites
Nadeem Bhatti	100	54	52	50	43	27	318
Miha Marič	151 1.5×	72 1.3×	59 1.1×	39 0.8×	48 1.1×	31	340
Francisco Antônio Coelho	114 1.1×	55 1.0×	46 0.9×	45 0.9×	33 0.8×	48	273
Muhammad Aamir Hashmi	93 0.9×	49 0.9×	35 0.7×	66 1.3×	43 1.0×	26	268
Hasan Hüseyin UZUNBACAK	116 1.2×	88 1.6×	41 0.8×	66 1.3×	56 1.3×	43	304
R. Krishnaveni	64 0.6×	56 1.0×	27 0.5×	41 0.8×	36 0.8×	46	266
Joseph B. Mosca	100 1.0×	43 0.8×	43 0.8×	57 1.1×	46 1.1×	27	295
Jason Snyder	50 0.5×	34 0.6×	73 1.4×	42 0.8×	24 0.6×	32	340
Lee-Peng Ng	116 1.2×	75 1.4×	88 1.7×	46 0.9×	41 1.0×	26	305
O. Olumuyiwa Oludayo	183 1.8×	58 1.1×	56 1.1×	49 1.0×	28 0.7×	35	355
Naresh Kumar Samy	81 0.8×	56 1.0×	72 1.4×	76 1.5×	37 0.9×	25	346

Countries citing papers authored by Nadeem Bhatti

Since Specialization

Citations

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

Fields of papers citing papers by Nadeem Bhatti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadeem Bhatti

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