Julia Bingler

1.2k total citations · 1 hit paper
28 papers, 557 citations indexed

About

Julia Bingler is a scholar working on Strategy and Management, Artificial Intelligence and Finance. According to data from OpenAlex, Julia Bingler has authored 28 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Strategy and Management, 10 papers in Artificial Intelligence and 9 papers in Finance. Recurrent topics in Julia Bingler's work include Corporate Social Responsibility Reporting (9 papers), Sustainable Finance and Green Bonds (8 papers) and Topic Modeling (7 papers). Julia Bingler is often cited by papers focused on Corporate Social Responsibility Reporting (9 papers), Sustainable Finance and Green Bonds (8 papers) and Topic Modeling (7 papers). Julia Bingler collaborates with scholars based in Switzerland, United Kingdom and Germany. Julia Bingler's co-authors include Markus Leippold, Mathias Kraus, Nicolas Webersinke, Dominik Stammbach, Saeid Ashraf Vaghefi, Tobias Wekhof, Jingwei Ni, Pierre Monnin, Veruska Muccione and Qian Wang and has published in prestigious journals such as Journal of Banking & Finance, Finance research letters and Climate Policy.

In The Last Decade

Julia Bingler

26 papers receiving 519 citations

Hit Papers

Cheap talk and cherry-picking: What ClimateBert has to sa... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia Bingler Switzerland 12 167 157 127 101 95 28 557
Nicolas Webersinke Switzerland 9 123 0.7× 104 0.7× 75 0.6× 92 0.9× 72 0.8× 16 421
Saqib Aziz France 11 101 0.6× 318 2.0× 147 1.2× 31 0.3× 130 1.4× 30 567
Michele Costola Italy 13 231 1.4× 376 2.4× 292 2.3× 49 0.5× 148 1.6× 42 787
Guowen Li China 8 51 0.3× 197 1.3× 92 0.7× 67 0.7× 137 1.4× 19 503
Елена Федорова Russia 14 78 0.5× 292 1.9× 199 1.6× 92 0.9× 206 2.2× 110 656
Fakhrul Hasan United Kingdom 14 104 0.6× 205 1.3× 76 0.6× 26 0.3× 94 1.0× 45 569
Cynthia Weiyi Cai Australia 8 111 0.7× 153 1.0× 57 0.4× 37 0.4× 103 1.1× 11 550
Christos Lemonakis Greece 11 143 0.9× 107 0.7× 59 0.5× 28 0.3× 135 1.4× 64 411
Mikko Ranta Finland 12 229 1.4× 209 1.3× 102 0.8× 35 0.3× 111 1.2× 27 629
Juan David González-Ruíz Colombia 13 141 0.8× 206 1.3× 113 0.9× 25 0.2× 101 1.1× 52 535

Countries citing papers authored by Julia Bingler

Since Specialization
Citations

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

Fields of papers citing papers by Julia Bingler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Bingler

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Bingler. A scholar is included among the top collaborators of Julia Bingler 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 Julia Bingler. Julia Bingler 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
1.
Leippold, Markus, Saeid Ashraf Vaghefi, Dominik Stammbach, et al.. (2025). Automated fact-checking of climate claims with large language models. npj Climate Action. 4(1). 17–17. 1 indexed citations
2.
Bingler, Julia, et al.. (2024). Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication. Finance research letters. 61. 104979–104979. 23 indexed citations
3.
Leippold, Markus, Saeid Ashraf Vaghefi, Veruska Muccione, et al.. (2024). Automated Fact-Checking of Climate Change Claims with Large Language Models. SSRN Electronic Journal. 3 indexed citations
4.
Muccione, Veruska, Saeid Ashraf Vaghefi, Julia Bingler, et al.. (2024). Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead. Regional Environmental Change. 24(3). 7 indexed citations
5.
Bingler, Julia, et al.. (2023). ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets. SSRN Electronic Journal. 3 indexed citations
6.
Ni, Jingwei, Julia Bingler, Mathias Kraus, et al.. (2023). Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with Chatreport, a Language Model-Based Tool. SSRN Electronic Journal. 5 indexed citations
7.
Ni, Jingwei, Julia Bingler, Mathias Kraus, et al.. (2023). CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools. DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)). 21–51. 11 indexed citations
8.
Vaghefi, Saeid Ashraf, Dominik Stammbach, Veruska Muccione, et al.. (2023). ChatClimate: Grounding conversational AI in climate science. Communications Earth & Environment. 4(1). 58 indexed citations
9.
Stammbach, Dominik, Nicolas Webersinke, Julia Bingler, Mathias Kraus, & Markus Leippold. (2023). Environmental Claim Detection. Zurich Open Repository and Archive (University of Zurich). 1051–1066. 4 indexed citations
11.
Bingler, Julia. (2023). Expect the Worst, Hope for the Best: The Valuation of Climate Risks and Opportunities in Sovereign Bonds. SSRN Electronic Journal. 1 indexed citations
12.
Vaghefi, Saeid Ashraf, Qian Wang, Veruska Muccione, et al.. (2023). ChatIPCC: Grounding Conversational AI in Climate Science. SSRN Electronic Journal. 7 indexed citations
13.
Bingler, Julia, Mathias Kraus, Markus Leippold, & Nicolas Webersinke. (2022). Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures. Finance research letters. 47. 102776–102776. 149 indexed citations breakdown →
14.
Hershcovich, Daniel, Nicolas Webersinke, Mathias Kraus, Julia Bingler, & Markus Leippold. (2022). Towards Climate Awareness in NLP Research. 2480–2494. 18 indexed citations
15.
Stammbach, Dominik, Nicolas Webersinke, Julia Bingler, Mathias Kraus, & Markus Leippold. (2022). A Dataset for Detecting Real-World Environmental Claims. SSRN Electronic Journal. 12 indexed citations
16.
Bingler, Julia, Mathias Kraus, Markus Leippold, & Nicolas Webersinke. (2022). How Cheap Talk in Climate Disclosures relates to Climate Initiatives, Corporate Emissions, and Reputation Risk. SSRN Electronic Journal. 19 indexed citations
17.
Bingler, Julia, Mathias Kraus, Markus Leippold, & Nicolas Webersinke. (2022). Cheap Talk in Corporate Climate Commitments: The Role of Active Institutional Ownership, Signaling, Materiality, and Sentiment. SSRN Electronic Journal. 5 indexed citations
18.
Bingler, Julia. (2022). Expect the Worst, Hope for the Best: The Valuation of Climate Risks and Opportunities in Sovereign Bonds. SSRN Electronic Journal. 3 indexed citations
19.
Bingler, Julia, Mathias Kraus, & Markus Leippold. (2021). Cheap Talk and Cherry-Picking: What ClimateBert has to say on Corporate Climate Risk Disclosures. SSRN Electronic Journal. 43 indexed citations
20.
Bingler, Julia, et al.. (2020). Taming the Green Swan: How to improve climate-related financial risk assessments. SSRN Electronic Journal. 8 indexed citations

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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