Diana Mok

23 total papers · 848 total citations
18 papers, 538 citations indexed

About

Diana Mok is a scholar working on Economics and Econometrics, Sociology and Political Science and Finance. According to data from OpenAlex, Diana Mok has authored 18 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 6 papers in Sociology and Political Science and 4 papers in Finance. Recurrent topics in Diana Mok's work include Housing Market and Economics (8 papers), Urban, Neighborhood, and Segregation Studies (5 papers) and Financial Literacy, Pension, Retirement Analysis (4 papers). Diana Mok is often cited by papers focused on Housing Market and Economics (8 papers), Urban, Neighborhood, and Segregation Studies (5 papers) and Financial Literacy, Pension, Retirement Analysis (4 papers). Diana Mok collaborates with scholars based in Canada, Chile and Switzerland. Diana Mok's co-authors include Barry Wellman, Juan Antonio Carrasco, Andreas Frei, Harry Timmermans, Kay W. Axhausen, Theo Arentze, Pauline van den Berg, Andrejs Skaburskis, Weidong Cao and Jinji Ma and has published in prestigious journals such as Remote Sensing, Urban Studies and Environment and Planning A Economy and Space.

In The Last Decade

Diana Mok

17 papers receiving 498 citations

Author Peers

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

Author						Papers	Cites
Diana Mok	244	189	91	79	64	18	538
Wei Wang	177 0.7×	49 0.3×	25 0.3×	62 0.8×	36 0.6×	41	465
Marc Keuschnigg	206 0.8×	50 0.3×	34 0.4×	118 1.5×	17 0.3×	28	501
Arlene Wong	175 0.7×	41 0.2×	37 0.4×	326 4.1×	27 0.4×	12	617
Alfredo J. Morales	218 0.9×	105 0.6×	279 3.1×	46 0.6×	208 3.3×	20	588
Bella Struminskaya	401 1.6×	51 0.3×	11 0.1×	65 0.8×	54 0.8×	28	604
Avinash Collis	194 0.8×	47 0.2×	20 0.2×	156 2.0×	30 0.5×	22	522
Heather Laurie	336 1.4×	69 0.4×	9 0.1×	84 1.1×	15 0.2×	18	582
Sun‐Ki Chai	276 1.1×	15 0.1×	37 0.4×	39 0.5×	32 0.5×	20	452
M. Keith Chen	186 0.8×	77 0.4×	7 0.1×	114 1.4×	16 0.3×	16	523
Ricardo B. Duque	153 0.6×	29 0.2×	21 0.2×	38 0.5×	93 1.5×	21	456

Countries citing papers authored by Diana Mok

Since Specialization

Citations

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

Fields of papers citing papers by Diana Mok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Mok

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