Paull Weber

38 total papers · 568 total citations
16 papers, 348 citations indexed

About

Paull Weber is a scholar working on Management of Technology and Innovation, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Paull Weber has authored 16 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management of Technology and Innovation, 8 papers in Organizational Behavior and Human Resource Management and 6 papers in Sociology and Political Science. Recurrent topics in Paull Weber's work include Entrepreneurship Studies and Influences (9 papers), Family Business Performance and Succession (8 papers) and Private Equity and Venture Capital (3 papers). Paull Weber is often cited by papers focused on Entrepreneurship Studies and Influences (9 papers), Family Business Performance and Succession (8 papers) and Private Equity and Venture Capital (3 papers). Paull Weber collaborates with scholars based in Australia, Bangladesh and United Kingdom. Paull Weber's co-authors include Michael Schaper, Jack Carlsen, Alison Morrison, Julia Connell, Eva Collins, Mehree Iqbal, Michael Volgger, David Pick, Thierry Voléry and Kate Lewis and has published in prestigious journals such as Management Decision, Journal of Hospitality and Tourism Management and Tourism Recreation Research.

In The Last Decade

Paull Weber

15 papers receiving 314 citations

Author Peers

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

Author						Papers	Cites
Paull Weber	202	112	103	78	51	16	348
Luisa Eugenia Reyes Recio	214 1.1×	126 1.1×	50 0.5×	41 0.5×	63 1.2×	17	328
Jo Bensemann	131 0.6×	100 0.9×	66 0.6×	20 0.3×	88 1.7×	18	355
Rebecca Namatovu	190 0.9×	88 0.8×	64 0.6×	25 0.3×	70 1.4×	19	310
Kévin André	143 0.7×	92 0.8×	88 0.9×	17 0.2×	80 1.6×	9	343
Sari Scheinberg	292 1.4×	187 1.7×	59 0.6×	26 0.3×	72 1.4×	10	386
Curt H. Stiles	114 0.6×	60 0.5×	126 1.2×	39 0.5×	87 1.7×	16	332
Ronit Yitshaki	289 1.4×	169 1.5×	47 0.5×	27 0.3×	28 0.5×	22	387
Naoum Mylonas	56 0.3×	98 0.9×	86 0.8×	27 0.3×	36 0.7×	20	333
Jessica L. Hurst	71 0.4×	122 1.1×	85 0.8×	30 0.4×	25 0.5×	19	311
Nádia Simões	138 0.7×	52 0.5×	116 1.1×	26 0.3×	102 2.0×	26	340

Countries citing papers authored by Paull Weber

Since Specialization

Citations

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

Fields of papers citing papers by Paull Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paull Weber

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