Partha S. Mohanram

4.5k total citations · 2 hit papers
47 papers, 3.2k citations indexed

About

Partha S. Mohanram is a scholar working on Accounting, Finance and Strategy and Management. According to data from OpenAlex, Partha S. Mohanram has authored 47 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Accounting, 37 papers in Finance and 18 papers in Strategy and Management. Recurrent topics in Partha S. Mohanram's work include Auditing, Earnings Management, Governance (40 papers), Financial Markets and Investment Strategies (35 papers) and Corporate Finance and Governance (23 papers). Partha S. Mohanram is often cited by papers focused on Auditing, Earnings Management, Governance (40 papers), Financial Markets and Investment Strategies (35 papers) and Corporate Finance and Governance (23 papers). Partha S. Mohanram collaborates with scholars based in Canada, United States and China. Partha S. Mohanram's co-authors include Eli Bartov, Lucile Faurel, Shyam V. Sunder, Kevin K. Li, Sudhakar V. Balachandran, Shiva Rajgopal, Doron Nissim, Ashish Nanda, Shivaram Rajgopal and Suning Zhang and has published in prestigious journals such as Management Science, Journal of Accounting and Economics and Journal of Accounting Research.

In The Last Decade

Partha S. Mohanram

44 papers receiving 3.0k citations

Hit Papers

Inferring the Cost of Capital Using the Ohlson–Juettner M... 2003 2026 2010 2018 2003 2017 200 400 600

Peers

Partha S. Mohanram
Comparison fields: 5 of 59
  • Accounting 2.6k
  • Finance 1.9k
  • Strategy and Management 1.3k
  • Economics and Econometrics 487
  • Management Science and Operations Research 317
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Citations per field, relative to Partha S. Mohanram
Partha S. Mohanram · 1×
Citations per year, relative to Partha S. Mohanram
Partha S. Mohanram · 1×

Countries citing papers authored by Partha S. Mohanram

Since Specialization
Citations

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

Fields of papers citing papers by Partha S. Mohanram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Partha S. Mohanram. 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 Partha S. Mohanram. The network helps show where Partha S. Mohanram may publish in the future.

Co-authorship network of co-authors of Partha S. Mohanram

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 17
4 10
5 44
6 153
7 46
8 91
9 16
10
Is the Decline in the Value Relevance of Accounting Driven by Increased Conservatism
5
11 100
12
Is PIN Priced Risk
23
13 68
14
How has Regulation FD Affected the Operations of Financial Analysts
20
15 7
16 244
17 311
18 97
19
Inferring the Cost of Capital Using the Ohlson–Juettner Model breakdown →
637
20 23

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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